Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications

In this paper, to have control over geometry specifications of rectangular bar-shaped layers in a robotic concrete 3D printing process, a real-time vision-based control framework is developed and proposed. The proposed control system is able to set the layer-width by automatically adjusting the velo...

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Main Authors: E. Shojaei Barjuei, E. Courteille, D. Rangeard, F. Marie, A. Perrot
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Advances in Industrial and Manufacturing Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666912922000228
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author E. Shojaei Barjuei
E. Courteille
D. Rangeard
F. Marie
A. Perrot
author_facet E. Shojaei Barjuei
E. Courteille
D. Rangeard
F. Marie
A. Perrot
author_sort E. Shojaei Barjuei
collection DOAJ
description In this paper, to have control over geometry specifications of rectangular bar-shaped layers in a robotic concrete 3D printing process, a real-time vision-based control framework is developed and proposed. The proposed control system is able to set the layer-width by automatically adjusting the velocity of an industrial manipulator during the 3D printing process of concrete based materials relying on a vision system feedback. Initially, details related to the control system, vision and processing units, and robotic platform are discussed. In continue, technical descriptions related to the printhead design, conversion process from a digital 3D drawing model to numerical motion control commands of an industrial manipulator and building material used in this work are reported. The reliability and responsiveness of the developed system is then evaluated through experimental tests by printing several single bar-shaped layers with different wideness by means of an unique printhead geometry and also by printing two layers with the same dimension centrally above another. Overall, the high accuracy and responsiveness of the developed system demonstrate a great potential for real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications.
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spelling doaj.art-6a6af1c1c47e4dc3a49f1742e7b67ad62022-12-22T02:08:46ZengElsevierAdvances in Industrial and Manufacturing Engineering2666-91292022-11-015100094Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applicationsE. Shojaei Barjuei0E. Courteille1D. Rangeard2F. Marie3A. Perrot4University of Rennes, INSA Rennes, LGCGM, 35043 Rennes Cedex, France; Corresponding author.University of Rennes, INSA Rennes, LGCGM, 35043 Rennes Cedex, FranceUniversity of Rennes, INSA Rennes, LGCGM, 35043 Rennes Cedex, FranceUniversity of Rennes, INSA Rennes, LGCGM, 35043 Rennes Cedex, FranceUniv. Bretagne-Sud, UMR CNRS 6027, IRDL, F-56100, Lorient, FranceIn this paper, to have control over geometry specifications of rectangular bar-shaped layers in a robotic concrete 3D printing process, a real-time vision-based control framework is developed and proposed. The proposed control system is able to set the layer-width by automatically adjusting the velocity of an industrial manipulator during the 3D printing process of concrete based materials relying on a vision system feedback. Initially, details related to the control system, vision and processing units, and robotic platform are discussed. In continue, technical descriptions related to the printhead design, conversion process from a digital 3D drawing model to numerical motion control commands of an industrial manipulator and building material used in this work are reported. The reliability and responsiveness of the developed system is then evaluated through experimental tests by printing several single bar-shaped layers with different wideness by means of an unique printhead geometry and also by printing two layers with the same dimension centrally above another. Overall, the high accuracy and responsiveness of the developed system demonstrate a great potential for real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications.http://www.sciencedirect.com/science/article/pii/S2666912922000228Robotic concrete 3D printingExtrusion-based additive manufacturingReal-time vision-based controlEdge detection algorithmLayer-width setting
spellingShingle E. Shojaei Barjuei
E. Courteille
D. Rangeard
F. Marie
A. Perrot
Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
Advances in Industrial and Manufacturing Engineering
Robotic concrete 3D printing
Extrusion-based additive manufacturing
Real-time vision-based control
Edge detection algorithm
Layer-width setting
title Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
title_full Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
title_fullStr Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
title_full_unstemmed Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
title_short Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications
title_sort real time vision based control of industrial manipulators for layer width setting in concrete 3d printing applications
topic Robotic concrete 3D printing
Extrusion-based additive manufacturing
Real-time vision-based control
Edge detection algorithm
Layer-width setting
url http://www.sciencedirect.com/science/article/pii/S2666912922000228
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